J. C. Newman

5.6k total citations
82 papers, 2.4k citations indexed

About

J. C. Newman is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, J. C. Newman has authored 82 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Mechanics of Materials, 49 papers in Mechanical Engineering and 18 papers in Civil and Structural Engineering. Recurrent topics in J. C. Newman's work include Fatigue and fracture mechanics (75 papers), Non-Destructive Testing Techniques (23 papers) and Probabilistic and Robust Engineering Design (13 papers). J. C. Newman is often cited by papers focused on Fatigue and fracture mechanics (75 papers), Non-Destructive Testing Techniques (23 papers) and Probabilistic and Robust Engineering Design (13 papers). J. C. Newman collaborates with scholars based in United States, China and Australia. J. C. Newman's co-authors include I. S. Raju, Kunigal Shivakumar, P. W. Tan, Y. Yamada, Uwe Zerbst, S.R. Daniewicz, Xue‐Ren Wu, R. Craig McClung, Robert S. Piascik and D. S. Dawicke and has published in prestigious journals such as Engineering Fracture Mechanics, International Journal of Fatigue and The American Journal of the Medical Sciences.

In The Last Decade

J. C. Newman

80 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. C. Newman United States 26 2.1k 1.2k 585 521 230 82 2.4k
Norman E. Dowling United States 18 1.7k 0.8× 1.4k 1.2× 635 1.1× 489 0.9× 284 1.2× 40 2.4k
Darrell Socie United States 16 2.4k 1.1× 1.9k 1.6× 684 1.2× 574 1.1× 318 1.4× 34 2.7k
W. Elber United States 11 2.1k 1.0× 1.3k 1.1× 696 1.2× 576 1.1× 187 0.8× 21 2.3k
Daniel Kujawski United States 24 2.0k 0.9× 1.3k 1.1× 657 1.1× 500 1.0× 205 0.9× 86 2.3k
Hironobu NISITANI Japan 20 1.8k 0.9× 939 0.8× 503 0.9× 399 0.8× 70 0.3× 331 2.0k
T. H. Topper Canada 18 2.1k 1.0× 1.5k 1.3× 590 1.0× 581 1.1× 195 0.8× 72 2.4k
Karl‐Heinz Schwalbe Germany 26 1.7k 0.8× 1.4k 1.2× 323 0.6× 700 1.3× 70 0.3× 97 2.1k
L. P. Pook United Kingdom 26 2.1k 1.0× 1.0k 0.8× 754 1.3× 450 0.9× 60 0.3× 84 2.3k
L. Molent Australia 26 1.5k 0.7× 1.0k 0.9× 433 0.7× 324 0.6× 640 2.8× 76 1.8k
Cetin Morris Sonsino Germany 28 2.9k 1.4× 2.2k 1.9× 1.4k 2.3× 447 0.9× 190 0.8× 133 3.5k

Countries citing papers authored by J. C. Newman

Since Specialization
Citations

This map shows the geographic impact of J. C. Newman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. C. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. C. Newman more than expected).

Fields of papers citing papers by J. C. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Newman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. C. Newman. The network helps show where J. C. Newman may publish in the future.

Co-authorship network of co-authors of J. C. Newman

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Newman. A scholar is included among the top collaborators of J. C. Newman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. C. Newman. J. C. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Newman, J. C., et al.. (2023). Recurrent neonatal acute kidney injury: Incidence, predictors, and outcomes in the neonatal intensive care unit. The American Journal of the Medical Sciences. 365. S249–S250. 1 indexed citations
2.
Wu, Xue‐Ren, et al.. (2016). Stress intensity factors for corner cracks in single‐edge notch bend specimen by a three‐dimensional weight function method. Fatigue & Fracture of Engineering Materials & Structures. 40(2). 277–287. 4 indexed citations
3.
Newman, J. C.. (2015). Validation of the Two-Parameter Fracture Criterion using finite-element analyses with the critical CTOA fracture criterion. Engineering Fracture Mechanics. 136. 131–141. 9 indexed citations
4.
Ray, Asok, Sekhar Tangirala, & J. C. Newman. (2005). Stochastic modeling of fatigue damage dynamics for failure prognostics and risk analysis. 3. 1610–1614. 1 indexed citations
5.
Potirniche, Gabriel P., S.R. Daniewicz, & J. C. Newman. (2004). Simulating small crack growth behaviour using crystal plasticity theory and finite element analysis. Fatigue & Fracture of Engineering Materials & Structures. 27(1). 59–71. 27 indexed citations
6.
Wang, Chunhui, L.R.F. Rose, & J. C. Newman. (2002). Closure of plane‐strain cracks under large‐scale yielding conditions. Fatigue & Fracture of Engineering Materials & Structures. 25(2). 127–139. 37 indexed citations
7.
McClung, R. Craig & J. C. Newman. (1999). Advances in fatigue crack closure measurement and analysis: Second volume. ASTM special technical publication 1343. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
8.
Newman, J. C., et al.. (1997). STRESS INTENSITY FACTORS FOR CORNER CRACKS AT A HOLE BY A 3‐D WEIGHT FUNCTION METHOD WITH STRESSES FROM THE FINITE ELEMENT METHOD. Fatigue & Fracture of Engineering Materials & Structures. 20(9). 1255–1267. 15 indexed citations
9.
Newman, J. C., et al.. (1996). Fatigue life and crack growth prediction methodology. International Journal of Fatigue. 18(4). 274–274. 6 indexed citations
10.
Piascik, Robert S. & J. C. Newman. (1996). An Extended Compact Tension Specimen for Fatigue Crack Propagation and Fracture. NASA Technical Reports Server (NASA). 2 indexed citations
11.
Newman, J. C.. (1995). Fatigue-Life Prediction Methodology Using a Crack-Closure Model. Journal of Engineering Materials and Technology. 117(4). 433–439. 38 indexed citations
12.
Newman, J. C., et al.. (1994). Small-crack effects in high-strength aluminum alloys. NASA Technical Reports Server (NASA). 94. 34299. 54 indexed citations
13.
Dawicke, D. S., et al.. (1994). Influence of crack history on the stable tearing behavior of a thin-sheet material with multiple cracks. NASA Technical Reports Server (NASA). 193–212. 9 indexed citations
14.
Dawicke, D. S., et al.. (1994). Stable tearing behavior of a thin-sheet material with multiple cracks. NASA Technical Reports Server (NASA). 7 indexed citations
15.
Newman, J. C., et al.. (1994). Small-Crack Effects in High-Strength Aluminum Alloys A NASA/CAE Cooperative Program. 48 indexed citations
16.
Newman, J. C., et al.. (1988). Short-Crack Growth Behaviour in an Aluminum Alloy: An AGARD Cooperative Test Programme. 105. 83 indexed citations
17.
Raju, I. S. & J. C. Newman. (1988). Methods for Analysis of Cracks in Three-Dimensional Solids. NASA Technical Reports Server (NASA). 36. 605–656. 4 indexed citations
18.
Newman, J. C. & I. S. Raju. (1979). Analysis of surface cracks in finite plates under tension or bending loads. 189 indexed citations
19.
Raju, I. S. & J. C. Newman. (1977). Three dimensional finite-element analysis of finite-thickness fracture specimens. NASA Technical Reports Server (NASA). 79 indexed citations
20.
Newman, J. C.. (1976). A finite-element analysis of fatigue crack closure. NASA STI Repository (National Aeronautics and Space Administration). 281–301. 78 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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